Triple

T25196427
Position Surface form Disambiguated ID Type / Status
Subject Sarafa Bazaar E631011 entity
Predicate primaryBusinessHours P17011 FINISHED
Object daytime for jewelry shops LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: daytime for jewelry shops | Statement: [Sarafa Bazaar, primaryBusinessHours, daytime for jewelry shops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryBusinessHours
Context triple: [Sarafa Bazaar, primaryBusinessHours, daytime for jewelry shops]
  • A. hoursOfOperation
    Indicates the time periods during which a place or service is open and available for use.
  • B. usedInBusinessHours
    Indicates that something is utilized or occurs during designated business operating hours.
  • C. typicalBusinessHourStartLocalTime
    Indicates the local time at which a business’s normal operating hours typically begin.
  • D. peakHours
    Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
  • E. openingHoursCharacteristic chosen
    Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e75a8a6d088190ba1e82a4345225e7 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 21, 2026, 12:46 p.m.